Macarena Calero

29 total papers · 1.1k total citations
14 papers, 907 citations indexed

About

Macarena Calero is a scholar working on Biomaterials, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Macarena Calero has authored 14 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomaterials, 7 papers in Biomedical Engineering and 4 papers in Materials Chemistry. Recurrent topics in Macarena Calero's work include Nanoparticle-Based Drug Delivery (8 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Macarena Calero is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), Characterization and Applications of Magnetic Nanoparticles (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Macarena Calero collaborates with scholars based in Spain, Mexico and Ireland. Macarena Calero's co-authors include Ángeles Villanueva, Rodolfo Miranda, M. P. Morales, S. Veintemillas‐Verdaguer, Ana Lázaro-Carrillo, Carlos J. Serna, Magdalena Cañete, Alejandro G. Roca, Yuri Volkov and Kieran Crosbie-Staunton and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and Scientific Reports.

In The Last Decade

Macarena Calero

13 papers receiving 899 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Macarena Calero 580 524 264 183 116 14 907
Ana Lázaro-Carrillo 428 0.7× 459 0.9× 197 0.7× 148 0.8× 92 0.8× 14 750
Ganeshlenin Kandasamy 517 0.9× 565 1.1× 325 1.2× 144 0.8× 174 1.5× 23 1.0k
Laura Asín 556 1.0× 655 1.3× 211 0.8× 132 0.7× 90 0.8× 23 954
Abhalaxmi Singh 543 0.9× 472 0.9× 171 0.6× 234 1.3× 71 0.6× 14 919
S. Cohen-Jonathan 569 1.0× 429 0.8× 294 1.1× 175 1.0× 241 2.1× 11 1.1k
Haerim Lee 510 0.9× 386 0.7× 259 1.0× 243 1.3× 132 1.1× 24 972
Fritz Westphal 398 0.7× 665 1.3× 132 0.5× 244 1.3× 134 1.2× 18 936
Tamara Fernández 351 0.6× 462 0.9× 230 0.9× 160 0.9× 82 0.7× 19 842
Zhilan Zheng 346 0.6× 345 0.7× 204 0.8× 256 1.4× 94 0.8× 9 763
Jung Jun Min 551 0.9× 442 0.8× 245 0.9× 220 1.2× 117 1.0× 12 900

Countries citing papers authored by Macarena Calero

Since Specialization
Citations

This map shows the geographic impact of Macarena Calero's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Macarena Calero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Macarena Calero more than expected).

Fields of papers citing papers by Macarena Calero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Macarena Calero. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Macarena Calero. The network helps show where Macarena Calero may publish in the future.

Co-authorship network of co-authors of Macarena Calero

This figure shows the co-authorship network connecting the top 25 collaborators of Macarena Calero. A scholar is included among the top collaborators of Macarena Calero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Macarena Calero. Macarena Calero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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